About company :
Jupitor Informatics is a Bangalore-based software and e-learning company operating since 2021. It provides IT services like custom software development, web and mobile app design, and e-commerce solutions. The company also offers online education through platforms like Jupitor E-class, delivering certification courses in science, commerce, humanities, and programming. They create systems such as content management tools, client-server apps, and coaching support software. Jupitor Informatics partners with organizations like NJJF and NIACT for academic projects and internships. It caters mainly to local clients, emphasizing affordable and timely service delivery. The firm blends digital solutions with educational content to meet diverse user needs. Its team is small but focused on scalable tech solutions and skill development. Overall, Jupitor aims to bridge gaps between education and technology through practical, low-cost offerings
Who we are :
A subject that’s always on our mind. We go through a rollercoaster of emotions when it comes to money. That’s why at Jupiter, our mission is to enable people to improve their relationship with money.
We are a financial services platform that leverages technology to offer our customers seamless and user-friendly products related to banking, loans, and investments. So whether it’s a savings account, credit cards, investment and payments, it’s all on Jupiter. We also help users cut through the banking jargons, offer smart insights based on spending and provide users with a range of new age features to enable and make sense of their finances.
About the Role:
- We’re looking for a highly motivated Data Science Intern to join our team at Jupiter’s Bangalore office for a 6-month full-time internship. You’ll work closely with the data science and engineering teams to build scalable data pipelines and machine learning solutions that power core product experiences.
Key Responsibilities:
- Design, build, and maintain robust data pipelines for ingesting, cleaning, and transforming large volumes of structured and unstructured data.
- Apply statistical and machine learning techniques to solve real-world fintech problems.
- Support user segmentation, profiling, and behavioral analytics to inform personalization and targeting strategies.
- Contribute to the end-to-end lifecycle of ML models — including design, training, validation, integration, deployment, and monitoring.
- Perform exploratory data analysis and generate actionable insights for business and product teams.
Requirements:
- Strong foundation in Python and experience with ML frameworks.
- Understanding of supervised and unsupervised learning algorithms.
- Prior hands-on experience building and deploying ML models on real datasets.
- Comfortable working with SQL and large datasets.
- Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
Our Process:
- The Intro: Our recruitment team goes through all the applications we receive to find the best fit. We look for skills that would be the perfect addition to our team, and past work that can vouch for it.
- Two Way Street: An interview with the hiring manager. Do you like the role? What are your expectations? These are the answers we seek. Pro-tip: Ask lots of questions. Assignments may be given.
- Culture Matters: We don’t just value the skills we bring, we value the people we bring. This round is to see if you fit our culture & for you to find out if it works for you too. If yes, then we’re in business. If not, until next time!
- The Offer: The most crucial step – as far as we’re concerned. We roll out offers if we find a candidate has met all our expectations and can be a part of our crew!
